Pandas Profiling Report

Dataset statistics

Number of variables	19
Number of observations	1519
Missing cells	1755
Missing cells (%)	6.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	951.9 KiB
Average record size in memory	641.7 B

Variable types

Numeric	10
Categorical	6
Text	3

Alerts

`Purpose` has constant value " For Sale"	Constant
`Bathrooms` is highly overall correlated with `Bedrooms` and 3 other fields	High correlation
`Bedrooms` is highly overall correlated with `Bathrooms` and 4 other fields	High correlation
`City` is highly overall correlated with `Unnamed: 0` and 1 other fields	High correlation
`Kitchens` is highly overall correlated with `Bathrooms` and 1 other fields	High correlation
`Parking Spaces` is highly overall correlated with `Bedrooms` and 1 other fields	High correlation
`Unnamed: 0` is highly overall correlated with `City` and 1 other fields	High correlation
`area` is highly overall correlated with `Bathrooms` and 3 other fields	High correlation
`price` is highly overall correlated with `Bathrooms` and 3 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property Type` is highly overall correlated with `province`	High correlation
`province` is highly overall correlated with `City` and 2 other fields	High correlation
`property Type` is highly imbalanced (76.3%)	Imbalance
`City` has 153 (10.1%) missing values	Missing
`Parking Spaces` has 694 (45.7%) missing values	Missing
`Bedrooms` has 112 (7.4%) missing values	Missing
`Bathrooms` has 112 (7.4%) missing values	Missing
`Servant Quarters` has 112 (7.4%) missing values	Missing
`Kitchens` has 112 (7.4%) missing values	Missing
`Store Rooms` has 112 (7.4%) missing values	Missing
`Purpose` has 65 (4.3%) missing values	Missing
`area` has 65 (4.3%) missing values	Missing
`price_per_sqft` has 65 (4.3%) missing values	Missing
`property Type` has 153 (10.1%) missing values	Missing
`Parking Spaces` is highly skewed (γ1 = 23.22317222)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`House Number` has unique values	Unique
`Bedrooms` has 47 (3.1%) zeros	Zeros
`Bathrooms` has 54 (3.6%) zeros	Zeros
`Servant Quarters` has 463 (30.5%) zeros	Zeros
`Kitchens` has 129 (8.5%) zeros	Zeros

Reproduction

Analysis started	2025-02-27 17:46:07.441851
Analysis finished	2025-02-27 17:46:31.072034
Duration	23.63 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Unnamed: 0
Real number (ℝ)

High correlation Uniform Unique

Distinct	1519
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	759

Minimum	0
Maximum	1518
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	75.9
Q1	379.5
median	759
Q3	1138.5
95-th percentile	1442.1
Maximum	1518
Range	1518
Interquartile range (IQR)	759

Descriptive statistics

Standard deviation	438.64184
Coefficient of variation (CV)	0.57792074
Kurtosis	-1.2
Mean	759
Median Absolute Deviation (MAD)	380
Skewness	0
Sum	1152921
Variance	192406.67
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
1009	1	0.1%
1018	1	0.1%
1017	1	0.1%
1016	1	0.1%
1015	1	0.1%
1014	1	0.1%
1013	1	0.1%
1012	1	0.1%
1011	1	0.1%
Other values (1509)	1509	99.3%

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1518	1	0.1%
1517	1	0.1%
1516	1	0.1%
1515	1	0.1%
1514	1	0.1%
1513	1	0.1%
1512	1	0.1%
1511	1	0.1%
1510	1	0.1%
1509	1	0.1%

House Number
Real number (ℝ)

Unique

Distinct	1519
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51403235

Minimum	25757819
Maximum	52144273
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	25757819
5-th percentile	48636648
Q1	51506872
median	51984001
Q3	52076958
95-th percentile	52126829
Maximum	52144273
Range	26386454
Interquartile range (IQR)	570086

Descriptive statistics

Standard deviation	1548566.8
Coefficient of variation (CV)	0.030125863
Kurtosis	64.4969
Mean	51403235
Median Absolute Deviation (MAD)	127727
Skewness	-5.9801436
Sum	7.8081513 × 10¹⁰
Variance	2.3980592 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48022756	1	0.1%
50962934	1	0.1%
52131690	1	0.1%
51886212	1	0.1%
52016360	1	0.1%
52008864	1	0.1%
52013728	1	0.1%
52024742	1	0.1%
52130214	1	0.1%
52130252	1	0.1%
Other values (1509)	1509	99.3%

Value	Count	Frequency (%)
25757819	1	0.1%
37107033	1	0.1%
37264255	1	0.1%
40966074	1	0.1%
42475075	1	0.1%
42644685	1	0.1%
43542179	1	0.1%
43639626	1	0.1%
43804041	1	0.1%
43841758	1	0.1%

Value	Count	Frequency (%)
52144273	1	0.1%
52143268	1	0.1%
52143266	1	0.1%
52142911	1	0.1%
52142446	1	0.1%
52140372	1	0.1%
52140252	1	0.1%
52140251	1	0.1%
52139999	1	0.1%
52139919	1	0.1%

City
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.2%
Missing	153
Missing (%)	10.1%
Memory size	96.0 KiB

Lahore	582
Rawalpindi	504
Karachi	280

Length

Max length	10
Median length	7
Mean length	7.6808199
Min length	6

Characters and Unicode

Total characters	10492
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rawalpindi
2nd row	Rawalpindi
3rd row	Rawalpindi
4th row	Rawalpindi
5th row	Rawalpindi

Common Values

Value	Count	Frequency (%)
Lahore	582	38.3%
Rawalpindi	504	33.2%
Karachi	280	18.4%
(Missing)	153	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
lahore	582	42.6%
rawalpindi	504	36.9%
karachi	280	20.5%

Most occurring characters

Value	Count	Frequency (%)
a	2150	20.5%
i	1288	12.3%
h	862	8.2%
r	862	8.2%
L	582	5.5%
o	582	5.5%
e	582	5.5%
R	504	4.8%
w	504	4.8%
l	504	4.8%
Other values (5)	2072	19.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9126	87.0%
Uppercase Letter	1366	13.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2150	23.6%
i	1288	14.1%
h	862	9.4%
r	862	9.4%
o	582	6.4%
e	582	6.4%
w	504	5.5%
l	504	5.5%
p	504	5.5%
n	504	5.5%
Other values (2)	784	8.6%

Uppercase Letter

Value	Count	Frequency (%)
L	582	42.6%
R	504	36.9%
K	280	20.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10492	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2150	20.5%
i	1288	12.3%
h	862	8.2%
r	862	8.2%
L	582	5.5%
o	582	5.5%
e	582	5.5%
R	504	4.8%
w	504	4.8%
l	504	4.8%
Other values (5)	2072	19.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10492	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2150	20.5%
i	1288	12.3%
h	862	8.2%
r	862	8.2%
L	582	5.5%
o	582	5.5%
e	582	5.5%
R	504	4.8%
w	504	4.8%
l	504	4.8%
Other values (5)	2072	19.7%

Parking Spaces
Real number (ℝ)

High correlation Missing Skewed

Distinct	17
Distinct (%)	2.1%
Missing	694
Missing (%)	45.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.3660606

Minimum	0
Maximum	400
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	400
Range	400
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	15.007015
Coefficient of variation (CV)	4.4583318
Kurtosis	598.07999
Mean	3.3660606
Median Absolute Deviation (MAD)	1
Skewness	23.223172
Sum	2777
Variance	225.2105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	259	17.1%
2	234	15.4%
3	146	9.6%
4	135	8.9%
6	19	1.3%
5	14	0.9%
20	3	0.2%
8	3	0.2%
10	3	0.2%
100	2	0.1%
Other values (7)	7	0.5%
(Missing)	694	45.7%

Value	Count	Frequency (%)
0	1	0.1%
1	259	17.1%
2	234	15.4%
3	146	9.6%
4	135	8.9%
5	14	0.9%
6	19	1.3%
8	3	0.2%
10	3	0.2%
15	1	0.1%

Value	Count	Frequency (%)
400	1	0.1%
100	2	0.1%
60	1	0.1%
50	1	0.1%
25	1	0.1%
24	1	0.1%
20	3	0.2%
15	1	0.1%
10	3	0.2%
8	3	0.2%

Bedrooms
Real number (ℝ)

High correlation Missing Zeros

Distinct	13
Distinct (%)	0.9%
Missing	112
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.0575693

Minimum	0
Maximum	13
Zeros	47
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	6
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.701463
Coefficient of variation (CV)	0.41933062
Kurtosis	0.913183
Mean	4.0575693
Median Absolute Deviation (MAD)	1
Skewness	-0.12554764
Sum	5709
Variance	2.8949764
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
5	503	33.1%
3	293	19.3%
4	200	13.2%
6	127	8.4%
2	103	6.8%
1	73	4.8%
0	47	3.1%
7	34	2.2%
8	16	1.1%
9	6	0.4%
Other values (3)	5	0.3%
(Missing)	112	7.4%

Value	Count	Frequency (%)
0	47	3.1%
1	73	4.8%
2	103	6.8%
3	293	19.3%
4	200	13.2%
5	503	33.1%
6	127	8.4%
7	34	2.2%
8	16	1.1%
9	6	0.4%

Value	Count	Frequency (%)
13	1	0.1%
11	1	0.1%
10	3	0.2%
9	6	0.4%
8	16	1.1%
7	34	2.2%
6	127	8.4%
5	503	33.1%
4	200	13.2%
3	293	19.3%

Bathrooms
Real number (ℝ)

High correlation Missing Zeros

Distinct	13
Distinct (%)	0.9%
Missing	112
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.6204691

Minimum	0
Maximum	13
Zeros	54
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	6
95-th percentile	7
Maximum	13
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.0112292
Coefficient of variation (CV)	0.43528681
Kurtosis	0.25544019
Mean	4.6204691
Median Absolute Deviation (MAD)	1
Skewness	-0.32458773
Sum	6501
Variance	4.045043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
6	420	27.6%
4	237	15.6%
5	231	15.2%
3	141	9.3%
7	103	6.8%
2	90	5.9%
1	77	5.1%
0	54	3.6%
8	32	2.1%
10	13	0.9%
Other values (3)	9	0.6%
(Missing)	112	7.4%

Value	Count	Frequency (%)
0	54	3.6%
1	77	5.1%
2	90	5.9%
3	141	9.3%
4	237	15.6%
5	231	15.2%
6	420	27.6%
7	103	6.8%
8	32	2.1%
9	5	0.3%

Value	Count	Frequency (%)
13	1	0.1%
11	3	0.2%
10	13	0.9%
9	5	0.3%
8	32	2.1%
7	103	6.8%
6	420	27.6%
5	231	15.2%
4	237	15.6%
3	141	9.3%

Servant Quarters
Real number (ℝ)

Missing Zeros

Distinct	7
Distinct (%)	0.5%
Missing	112
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	0.82942431

Minimum	0
Maximum	11
Zeros	463
Zeros (%)	30.5%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	2
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.74818977
Coefficient of variation (CV)	0.90205913
Kurtosis	25.167395
Mean	0.82942431
Median Absolute Deviation (MAD)	0
Skewness	2.3497665
Sum	1167
Variance	0.55978793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	749	49.3%
0	463	30.5%
2	179	11.8%
3	13	0.9%
6	1	0.1%
11	1	0.1%
4	1	0.1%
(Missing)	112	7.4%

Value	Count	Frequency (%)
0	463	30.5%
1	749	49.3%
2	179	11.8%
3	13	0.9%
4	1	0.1%
6	1	0.1%
11	1	0.1%

Value	Count	Frequency (%)
11	1	0.1%
6	1	0.1%
4	1	0.1%
3	13	0.9%
2	179	11.8%
1	749	49.3%
0	463	30.5%

Kitchens
Real number (ℝ)

High correlation Missing Zeros

Distinct	7
Distinct (%)	0.5%
Missing	112
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.6062544

Minimum	0
Maximum	21
Zeros	129
Zeros (%)	8.5%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	21
Range	21
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91450496
Coefficient of variation (CV)	0.56934003
Kurtosis	143.00315
Mean	1.6062544
Median Absolute Deviation (MAD)	0
Skewness	6.5513379
Sum	2260
Variance	0.83631932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	780	51.3%
1	409	26.9%
0	129	8.5%
3	83	5.5%
4	4	0.3%
5	1	0.1%
21	1	0.1%
(Missing)	112	7.4%

Value	Count	Frequency (%)
0	129	8.5%
1	409	26.9%
2	780	51.3%
3	83	5.5%
4	4	0.3%
5	1	0.1%
21	1	0.1%

Value	Count	Frequency (%)
21	1	0.1%
5	1	0.1%
4	4	0.3%
3	83	5.5%
2	780	51.3%
1	409	26.9%
0	129	8.5%

Store Rooms
Categorical

Missing

Distinct	5
Distinct (%)	0.4%
Missing	112
Missing (%)	7.4%
Memory size	89.6 KiB

1.0	719
0.0	500
2.0	174
3.0	9
4.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4221
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	719	47.3%
0.0	500	32.9%
2.0	174	11.5%
3.0	9	0.6%
4.0	5	0.3%
(Missing)	112	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	719	51.1%
0.0	500	35.5%
2.0	174	12.4%
3.0	9	0.6%
4.0	5	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	1907	45.2%
.	1407	33.3%
1	719	17.0%
2	174	4.1%
3	9	0.2%
4	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2814	66.7%
Other Punctuation	1407	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1907	67.8%
1	719	25.6%
2	174	6.2%
3	9	0.3%
4	5	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1407	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4221	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1907	45.2%
.	1407	33.3%
1	719	17.0%
2	174	4.1%
3	9	0.2%
4	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4221	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1907	45.2%
.	1407	33.3%
1	719	17.0%
2	174	4.1%
3	9	0.2%
4	5	0.1%

price
Real number (ℝ)

High correlation

Distinct	348
Distinct (%)	22.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.9260829

Minimum	0.26
Maximum	58
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0.26
5-th percentile	0.739
Q1	1.8
median	3.15
Q3	6
95-th percentile	15
Maximum	58
Range	57.74
Interquartile range (IQR)	4.2

Descriptive statistics

Standard deviation	5.6474432
Coefficient of variation (CV)	1.1464369
Kurtosis	19.062253
Mean	4.9260829
Median Absolute Deviation (MAD)	1.6
Skewness	3.6394889
Sum	7482.72
Variance	31.893615
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.65	29	1.9%
1.85	28	1.8%
2.25	28	1.8%
4.5	25	1.6%
1.9	22	1.4%
3.5	22	1.4%
2.2	21	1.4%
2.3	21	1.4%
1.7	20	1.3%
5.5	20	1.3%
Other values (338)	1283	84.5%

Value	Count	Frequency (%)
0.26	1	0.1%
0.28	1	0.1%
0.29	1	0.1%
0.31	1	0.1%
0.32	1	0.1%
0.35	1	0.1%
0.36	4	0.3%
0.4	1	0.1%
0.42	2	0.1%
0.43	1	0.1%

Value	Count	Frequency (%)
58	1	0.1%
48.5	1	0.1%
44.5	1	0.1%
42	3	0.2%
40	2	0.1%
39	1	0.1%
38	1	0.1%
36	2	0.1%
35	1	0.1%
33	1	0.1%

Purpose
Categorical

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	65
Missing (%)	4.3%
Memory size	97.9 KiB

For Sale	1454

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	13086
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	For Sale
2nd row	For Sale
3rd row	For Sale
4th row	For Sale
5th row	For Sale

Common Values

Value	Count	Frequency (%)
For Sale	1454	95.7%
(Missing)	65	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
for	1454	50.0%
sale	1454	50.0%

Most occurring characters

Value	Count	Frequency (%)
	2908	22.2%
F	1454	11.1%
o	1454	11.1%
r	1454	11.1%
S	1454	11.1%
a	1454	11.1%
l	1454	11.1%
e	1454	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7270	55.6%
Space Separator	2908	22.2%
Uppercase Letter	2908	22.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1454	20.0%
r	1454	20.0%
a	1454	20.0%
l	1454	20.0%
e	1454	20.0%

Uppercase Letter

Value	Count	Frequency (%)
F	1454	50.0%
S	1454	50.0%

Space Separator

Value	Count	Frequency (%)
	2908	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10178	77.8%
Common	2908	22.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	1454	14.3%
o	1454	14.3%
r	1454	14.3%
S	1454	14.3%
a	1454	14.3%
l	1454	14.3%
e	1454	14.3%

Common

Value	Count	Frequency (%)
	2908	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13086	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2908	22.2%
F	1454	11.1%
o	1454	11.1%
r	1454	11.1%
S	1454	11.1%
a	1454	11.1%
l	1454	11.1%
e	1454	11.1%

Location
Text

Distinct	142
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	135.1 KiB

Length

Max length	63
Median length	60
Mean length	34.007242
Min length	3

Characters and Unicode

Total characters	51657
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	4.2%

Sample

1st row	Bahria Town Rawalpindi, Rawalpindi, Punjab,
2nd row	Bahria Town Rawalpindi, Rawalpindi, Punjab,
3rd row	Bahria Town Rawalpindi, Rawalpindi, Punjab,
4th row	Bahria Town Rawalpindi, Rawalpindi, Punjab,
5th row	Bahria Town Rawalpindi, Rawalpindi, Punjab,

Value	Count	Frequency (%)
punjab	1233	18.9%
rawalpindi	968	14.8%
lahore	670	10.3%
town	608	9.3%
bahria	556	8.5%
karachi	291	4.5%
defence	281	4.3%
dha	281	4.3%
sindh	237	3.6%
road	115	1.8%
Other values (170)	1288	19.7%

Most occurring characters

Value	Count	Frequency (%)
a	6499	12.6%
	6478	12.5%
,	4386	8.5%
n	3757	7.3%
i	3680	7.1%
e	2026	3.9%
h	1989	3.9%
r	1955	3.8%
o	1759	3.4%
w	1660	3.2%
Other values (47)	17468	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	33600	65.0%
Uppercase Letter	7124	13.8%
Space Separator	6478	12.5%
Other Punctuation	4386	8.5%
Decimal Number	69	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6499	19.3%
n	3757	11.2%
i	3680	11.0%
e	2026	6.0%
h	1989	5.9%
r	1955	5.8%
o	1759	5.2%
w	1660	4.9%
d	1516	4.5%
u	1480	4.4%
Other values (16)	7279	21.7%

Uppercase Letter

Value	Count	Frequency (%)
P	1339	18.8%
R	1134	15.9%
L	689	9.7%
T	640	9.0%
D	579	8.1%
B	573	8.0%
A	461	6.5%
S	408	5.7%
H	406	5.7%
K	301	4.2%
Other values (14)	594	8.3%

Decimal Number

Value	Count	Frequency (%)
1	31	44.9%
3	27	39.1%
4	9	13.0%
2	1	1.4%
9	1	1.4%

Space Separator

Value	Count	Frequency (%)
	6478	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4386	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40724	78.8%
Common	10933	21.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6499	16.0%
n	3757	9.2%
i	3680	9.0%
e	2026	5.0%
h	1989	4.9%
r	1955	4.8%
o	1759	4.3%
w	1660	4.1%
d	1516	3.7%
u	1480	3.6%
Other values (40)	14403	35.4%

Common

Value	Count	Frequency (%)
	6478	59.3%
,	4386	40.1%
1	31	0.3%
3	27	0.2%
4	9	0.1%
2	1	< 0.1%
9	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51657	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6499	12.6%
	6478	12.5%
,	4386	8.5%
n	3757	7.3%
i	3680	7.1%
e	2026	3.9%
h	1989	3.9%
r	1955	3.8%
o	1759	3.4%
w	1660	3.2%
Other values (47)	17468	33.8%

Age Possession
Categorical

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	103.3 KiB

Relatively New	770
Undefined	458
New Property	125
Under Construction	102
Moderately Old	40

Length

Max length	18
Median length	14
Mean length	12.564845
Min length	9

Characters and Unicode

Total characters	19086
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Relatively New
3rd row	Undefined
4th row	Relatively New
5th row	New Property

Common Values

Value	Count	Frequency (%)
Relatively New	770	50.7%
Undefined	458	30.2%
New Property	125	8.2%
Under Construction	102	6.7%
Moderately Old	40	2.6%
Old Property	24	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	895	34.7%
relatively	770	29.8%
undefined	458	17.8%
property	149	5.8%
under	102	4.0%
construction	102	4.0%
old	64	2.5%
moderately	40	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	3682	19.3%
l	1644	8.6%
i	1330	7.0%
n	1222	6.4%
t	1163	6.1%
d	1122	5.9%
	1061	5.6%
y	959	5.0%
N	895	4.7%
w	895	4.7%
Other values (15)	5113	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15445	80.9%
Uppercase Letter	2580	13.5%
Space Separator	1061	5.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3682	23.8%
l	1644	10.6%
i	1330	8.6%
n	1222	7.9%
t	1163	7.5%
d	1122	7.3%
y	959	6.2%
w	895	5.8%
a	810	5.2%
v	770	5.0%
Other values (7)	1848	12.0%

Uppercase Letter

Value	Count	Frequency (%)
N	895	34.7%
R	770	29.8%
U	560	21.7%
P	149	5.8%
C	102	4.0%
O	64	2.5%
M	40	1.6%

Space Separator

Value	Count	Frequency (%)
	1061	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18025	94.4%
Common	1061	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3682	20.4%
l	1644	9.1%
i	1330	7.4%
n	1222	6.8%
t	1163	6.5%
d	1122	6.2%
y	959	5.3%
N	895	5.0%
w	895	5.0%
a	810	4.5%
Other values (14)	4303	23.9%

Common

Value	Count	Frequency (%)
	1061	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19086	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3682	19.3%
l	1644	8.6%
i	1330	7.0%
n	1222	6.4%
t	1163	6.1%
d	1122	5.9%
	1061	5.6%
y	959	5.0%
N	895	4.7%
w	895	4.7%
Other values (15)	5113	26.8%

area
Real number (ℝ)

High correlation Missing

Distinct	163
Distinct (%)	11.2%
Missing	65
Missing (%)	4.3%
Infinite	0
Infinite (%)	0.0%
Mean	3075.9924

Minimum	279
Maximum	108900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	279
5-th percentile	817
Q1	1361
median	2277
Q3	3600
95-th percentile	5869.75
Maximum	108900
Range	108621
Interquartile range (IQR)	2239

Descriptive statistics

Standard deviation	4168.4051
Coefficient of variation (CV)	1.3551415
Kurtosis	309.81095
Mean	3075.9924
Median Absolute Deviation (MAD)	916
Skewness	14.138177
Sum	4472493
Variance	17375601
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1361	289	19.0%
2722	253	16.7%
5445	216	14.2%
1906	72	4.7%
10890	35	2.3%
817	35	2.3%
1634	29	1.9%
1089	26	1.7%
4500	26	1.7%
2178	20	1.3%
Other values (153)	453	29.8%
(Missing)	65	4.3%

Value	Count	Frequency (%)
279	1	0.1%
327	2	0.1%
354	1	0.1%
381	2	0.1%
436	2	0.1%
463	1	0.1%
490	4	0.3%
540	1	0.1%
544	11	0.7%
572	1	0.1%

Value	Count	Frequency (%)
108900	1	0.1%
49005	1	0.1%
43560	2	0.1%
32670	1	0.1%
23958	1	0.1%
21780	2	0.1%
16335	2	0.1%
11979	1	0.1%
10890	35	2.3%
9801	1	0.1%

price_per_sqft
Real number (ℝ)

High correlation Missing

Distinct	722
Distinct (%)	49.7%
Missing	65
Missing (%)	4.3%
Infinite	0
Infinite (%)	0.0%
Mean	15291.294

Minimum	550.96
Maximum	62222.22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	550.96
5-th percentile	7794.8475
Q1	11559.763
median	13915.305
Q3	17251.115
95-th percentile	27645.017
Maximum	62222.22
Range	61671.26
Interquartile range (IQR)	5691.3525

Descriptive statistics

Standard deviation	6833.6796
Coefficient of variation (CV)	0.44690003
Kurtosis	7.6221363
Mean	15291.294
Median Absolute Deviation (MAD)	2685.08
Skewness	2.1305255
Sum	22233541
Variance	46699177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13960.32	27	1.8%
13592.95	24	1.6%
12123.44	23	1.5%
16531.96	22	1.4%
13774.1	19	1.3%
12490.82	19	1.3%
12858.19	17	1.1%
13225.57	17	1.1%
14327.7	16	1.1%
11756.06	16	1.1%
Other values (712)	1254	82.6%
(Missing)	65	4.3%

Value	Count	Frequency (%)
550.96	1	0.1%
587.7	1	0.1%
1056.01	1	0.1%
1224.36	1	0.1%
1322.31	1	0.1%
1530.46	1	0.1%
1606.98	1	0.1%
2203.86	1	0.1%
2410.47	1	0.1%
2712.16	1	0.1%

Value	Count	Frequency (%)
62222.22	1	0.1%
55555.56	1	0.1%
53259.87	1	0.1%
53240.74	1	0.1%
52777.78	1	0.1%
50925.93	1	0.1%
49888.89	1	0.1%
47777.78	1	0.1%
46296.3	2	0.1%
45913.68	1	0.1%

colony
Text

Distinct	304
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	107.4 KiB

Length

Max length	52
Median length	41
Mean length	15.312706
Min length	3

Characters and Unicode

Total characters	23260
Distinct characters	66
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	158 ?
Unique (%)	10.4%

Sample

1st row	Bahria Town Phase 8
2nd row	Bahria Town Phase 8
3rd row	Bahria Town Phase 4
4th row	Bahria Town Phase 8
5th row	Bahria Greens

Value	Count	Frequency (%)
phase	592	13.6%
bahria	543	12.5%
town	538	12.3%
dha	261	6.0%
8	241	5.5%
housing	122	2.8%
city	118	2.7%
6	90	2.1%
society	82	1.9%
2	80	1.8%
Other values (286)	1690	38.8%

Most occurring characters

Value	Count	Frequency (%)
	3437	14.8%
a	2742	11.8%
h	1431	6.2%
e	1382	5.9%
i	1348	5.8%
r	1196	5.1%
o	1097	4.7%
n	1092	4.7%
s	1027	4.4%
P	746	3.2%
Other values (56)	7762	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14758	63.4%
Uppercase Letter	4277	18.4%
Space Separator	3437	14.8%
Decimal Number	779	3.3%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%
Other Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2742	18.6%
h	1431	9.7%
e	1382	9.4%
i	1348	9.1%
r	1196	8.1%
o	1097	7.4%
n	1092	7.4%
s	1027	7.0%
w	626	4.2%
t	453	3.1%
Other values (16)	2364	16.0%

Uppercase Letter

Value	Count	Frequency (%)
P	746	17.4%
B	599	14.0%
T	557	13.0%
A	499	11.7%
H	423	9.9%
D	298	7.0%
C	243	5.7%
S	238	5.6%
G	156	3.6%
R	102	2.4%
Other values (16)	416	9.7%

Decimal Number

Value	Count	Frequency (%)
8	242	31.1%
1	91	11.7%
6	90	11.6%
2	81	10.4%
7	74	9.5%
3	63	8.1%
4	44	5.6%
5	44	5.6%
9	35	4.5%
0	15	1.9%

Space Separator

Value	Count	Frequency (%)
	3437	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19035	81.8%
Common	4225	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2742	14.4%
h	1431	7.5%
e	1382	7.3%
i	1348	7.1%
r	1196	6.3%
o	1097	5.8%
n	1092	5.7%
s	1027	5.4%
P	746	3.9%
w	626	3.3%
Other values (42)	6348	33.3%

Common

Value	Count	Frequency (%)
	3437	81.3%
8	242	5.7%
1	91	2.2%
6	90	2.1%
2	81	1.9%
7	74	1.8%
3	63	1.5%
4	44	1.0%
5	44	1.0%
9	35	0.8%
Other values (4)	24	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3437	14.8%
a	2742	11.8%
h	1431	6.2%
e	1382	5.9%
i	1348	5.8%
r	1196	5.1%
o	1097	4.7%
n	1092	4.7%
s	1027	4.4%
P	746	3.2%
Other values (56)	7762	33.4%

province
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	93.3 KiB

Punjab	1238
Sindh	281

Length

Max length	6
Median length	6
Mean length	5.8150099
Min length	5

Characters and Unicode

Total characters	8833
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Punjab
2nd row	Punjab
3rd row	Punjab
4th row	Punjab
5th row	Punjab

Common Values

Value	Count	Frequency (%)
Punjab	1238	81.5%
Sindh	281	18.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
punjab	1238	81.5%
sindh	281	18.5%

Most occurring characters

Value	Count	Frequency (%)
n	1519	17.2%
P	1238	14.0%
u	1238	14.0%
j	1238	14.0%
a	1238	14.0%
b	1238	14.0%
S	281	3.2%
i	281	3.2%
d	281	3.2%
h	281	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7314	82.8%
Uppercase Letter	1519	17.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1519	20.8%
u	1238	16.9%
j	1238	16.9%
a	1238	16.9%
b	1238	16.9%
i	281	3.8%
d	281	3.8%
h	281	3.8%

Uppercase Letter

Value	Count	Frequency (%)
P	1238	81.5%
S	281	18.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8833	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1519	17.2%
P	1238	14.0%
u	1238	14.0%
j	1238	14.0%
a	1238	14.0%
b	1238	14.0%
S	281	3.2%
i	281	3.2%
d	281	3.2%
h	281	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1519	17.2%
P	1238	14.0%
u	1238	14.0%
j	1238	14.0%
a	1238	14.0%
b	1238	14.0%
S	281	3.2%
i	281	3.2%
d	281	3.2%
h	281	3.2%

society
Text

Distinct	139
Distinct (%)	9.2%
Missing	0
Missing (%)	0.0%
Memory size	107.2 KiB

Length

Max length	45
Median length	44
Mean length	15.208032
Min length	3

Characters and Unicode

Total characters	23101
Distinct characters	56
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	4.2%

Sample

1st row	Bahria Town Rawalpindi
2nd row	Bahria Town Rawalpindi
3rd row	Bahria Town Rawalpindi
4th row	Bahria Town Rawalpindi
5th row	Bahria Town Rawalpindi

Value	Count	Frequency (%)
town	608	16.9%
bahria	556	15.4%
rawalpindi	408	11.3%
defence	281	7.8%
dha	281	7.8%
road	115	3.2%
housing	115	3.2%
city	76	2.1%
society	76	2.1%
park	74	2.1%
Other values (169)	1014	28.1%

Most occurring characters

Value	Count	Frequency (%)
a	3015	13.1%
	2092	9.1%
i	2086	9.0%
n	1735	7.5%
e	1361	5.9%
w	1100	4.8%
o	1094	4.7%
r	1053	4.6%
h	850	3.7%
d	719	3.1%
Other values (46)	7996	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16740	72.5%
Uppercase Letter	4200	18.2%
Space Separator	2092	9.1%
Decimal Number	69	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3015	18.0%
i	2086	12.5%
n	1735	10.4%
e	1361	8.1%
w	1100	6.6%
o	1094	6.5%
r	1053	6.3%
h	850	5.1%
d	719	4.3%
l	700	4.2%
Other values (16)	3027	18.1%

Uppercase Letter

Value	Count	Frequency (%)
T	640	15.2%
D	579	13.8%
R	574	13.7%
B	573	13.6%
A	461	11.0%
H	406	9.7%
C	173	4.1%
S	171	4.1%
G	141	3.4%
P	114	2.7%
Other values (14)	368	8.8%

Decimal Number

Value	Count	Frequency (%)
1	31	44.9%
3	27	39.1%
4	9	13.0%
9	1	1.4%
2	1	1.4%

Space Separator

Value	Count	Frequency (%)
	2092	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20940	90.6%
Common	2161	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3015	14.4%
i	2086	10.0%
n	1735	8.3%
e	1361	6.5%
w	1100	5.3%
o	1094	5.2%
r	1053	5.0%
h	850	4.1%
d	719	3.4%
l	700	3.3%
Other values (40)	7227	34.5%

Common

Value	Count	Frequency (%)
	2092	96.8%
1	31	1.4%
3	27	1.2%
4	9	0.4%
9	1	< 0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3015	13.1%
	2092	9.1%
i	2086	9.0%
n	1735	7.5%
e	1361	5.9%
w	1100	4.8%
o	1094	4.7%
r	1053	4.6%
h	850	3.7%
d	719	3.1%
Other values (46)	7996	34.6%

property Type
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.4%
Missing	153
Missing (%)	10.1%
Memory size	93.6 KiB

Houses	1228
Flats	118
Upper	13
Lower	6
Penthouse	1

Length

Max length	9
Median length	6
Mean length	5.9019034
Min length	5

Characters and Unicode

Total characters	8062
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Houses
2nd row	Houses
3rd row	Houses
4th row	Houses
5th row	Houses

Common Values

Value	Count	Frequency (%)
Houses	1228	80.8%
Flats	118	7.8%
Upper	13	0.9%
Lower	6	0.4%
Penthouse	1	0.1%
(Missing)	153	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
houses	1228	89.9%
flats	118	8.6%
upper	13	1.0%
lower	6	0.4%
penthouse	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
s	2575	31.9%
e	1249	15.5%
o	1235	15.3%
u	1229	15.2%
H	1228	15.2%
t	119	1.5%
l	118	1.5%
a	118	1.5%
F	118	1.5%
p	26	0.3%
Other values (7)	47	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6696	83.1%
Uppercase Letter	1366	16.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2575	38.5%
e	1249	18.7%
o	1235	18.4%
u	1229	18.4%
t	119	1.8%
l	118	1.8%
a	118	1.8%
p	26	0.4%
r	19	0.3%
w	6	0.1%
Other values (2)	2	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
H	1228	89.9%
F	118	8.6%
U	13	1.0%
L	6	0.4%
P	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8062	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	2575	31.9%
e	1249	15.5%
o	1235	15.3%
u	1229	15.2%
H	1228	15.2%
t	119	1.5%
l	118	1.5%
a	118	1.5%
F	118	1.5%
p	26	0.3%
Other values (7)	47	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	2575	31.9%
e	1249	15.5%
o	1235	15.3%
u	1229	15.2%
H	1228	15.2%
t	119	1.5%
l	118	1.5%
a	118	1.5%
F	118	1.5%
p	26	0.3%
Other values (7)	47	0.6%

	Age Possession	Bathrooms	Bedrooms	City	House Number	Kitchens	Parking Spaces	Servant Quarters	Store Rooms	Unnamed: 0	area	price	price_per_sqft	property Type	province
Age Possession	1.000	0.125	0.107	0.110	0.000	0.049	0.015	0.052	0.166	0.090	0.043	0.034	0.061	0.072	0.138
Bathrooms	0.125	1.000	0.896	0.271	-0.080	0.613	0.484	0.402	0.288	-0.149	0.576	0.549	0.199	0.260	0.302
Bedrooms	0.107	0.896	1.000	0.224	-0.081	0.586	0.501	0.390	0.278	-0.108	0.591	0.572	0.217	0.218	0.207
City	0.110	0.271	0.224	1.000	0.065	0.067	0.033	0.178	0.100	0.948	0.003	0.116	0.246	0.464	1.000
House Number	0.000	-0.080	-0.081	0.065	1.000	-0.034	0.002	-0.124	0.000	0.205	-0.040	-0.025	0.057	0.000	0.000
Kitchens	0.049	0.613	0.586	0.067	-0.034	1.000	0.335	0.429	0.236	-0.149	0.299	0.273	0.127	0.021	0.045
Parking Spaces	0.015	0.484	0.501	0.033	0.002	0.335	1.000	0.378	0.000	-0.042	0.568	0.496	0.030	0.000	0.056
Servant Quarters	0.052	0.402	0.390	0.178	-0.124	0.429	0.378	1.000	0.232	-0.031	0.380	0.343	0.073	0.000	0.000
Store Rooms	0.166	0.288	0.278	0.100	0.000	0.236	0.000	0.232	1.000	0.071	0.000	0.133	0.072	0.000	0.000
Unnamed: 0	0.090	-0.149	-0.108	0.948	0.205	-0.149	-0.042	-0.031	0.071	1.000	-0.042	0.071	0.131	0.308	0.954
area	0.043	0.576	0.591	0.003	-0.040	0.299	0.568	0.380	0.000	-0.042	1.000	0.898	0.250	0.000	0.000
price	0.034	0.549	0.572	0.116	-0.025	0.273	0.496	0.343	0.133	0.071	0.898	1.000	0.607	0.089	0.138
price_per_sqft	0.061	0.199	0.217	0.246	0.057	0.127	0.030	0.073	0.072	0.131	0.250	0.607	1.000	0.091	0.310
property Type	0.072	0.260	0.218	0.464	0.000	0.021	0.000	0.000	0.000	0.308	0.000	0.089	0.091	1.000	0.658
province	0.138	0.302	0.207	1.000	0.000	0.045	0.056	0.000	0.000	0.954	0.000	0.138	0.310	0.658	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Unnamed: 0	House Number	City	Parking Spaces	Bedrooms	Bathrooms	Servant Quarters	Kitchens	Store Rooms	price	Purpose	Location	Age Possession	area	price_per_sqft	colony	province	society	property Type
0	0	48022756	Rawalpindi	NaN	5.0	6.0	1.0	2.0	0.0	7.50	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	Relatively New	5445.0	13774.10	Bahria Town Phase 8	Punjab	Bahria Town Rawalpindi	Houses
1	1	51560745	Rawalpindi	NaN	5.0	6.0	1.0	2.0	0.0	3.75	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	Relatively New	2968.0	12634.77	Bahria Town Phase 8	Punjab	Bahria Town Rawalpindi	Houses
2	2	51815448	Rawalpindi	NaN	5.0	6.0	1.0	2.0	0.0	4.25	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	Undefined	2722.0	15613.52	Bahria Town Phase 4	Punjab	Bahria Town Rawalpindi	Houses
3	3	52061409	Rawalpindi	1.0	3.0	3.0	0.0	1.0	0.0	1.50	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	Relatively New	1361.0	11021.31	Bahria Town Phase 8	Punjab	Bahria Town Rawalpindi	Houses
4	4	52010487	Rawalpindi	3.0	6.0	6.0	1.0	2.0	1.0	4.75	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	New Property	3812.0	12460.65	Bahria Greens	Punjab	Bahria Town Rawalpindi	Houses
5	5	42644685	NaN	2.0	3.0	3.0	1.0	1.0	1.0	2.25	For Sale	Askari 14, Rawalpindi, Punjab,	Moderately Old	2722.0	8265.98	Askari 14	Punjab	Askari 14	NaN
6	6	52099738	NaN	3.0	2.0	2.0	0.0	1.0	1.0	1.15	For Sale	Bahria Town Rawalpindi, Rawalpindi, Punjab,	Relatively New	1171.0	9820.67	Bahria Town	Punjab	Bahria Town Rawalpindi	NaN
7	7	51956291	Rawalpindi	1.0	4.0	5.0	0.0	0.0	0.0	1.75	For Sale	Defence Road, Rawalpindi, Punjab,	Undefined	1361.0	12858.19	Defence Road	Punjab	Defence Road	Houses
8	8	52094137	Rawalpindi	1.0	4.0	4.0	0.0	2.0	0.0	1.55	For Sale	Adiala Road, Rawalpindi, Punjab,	Under Construction	1361.0	11388.68	Snober City	Punjab	Adiala Road	Houses
9	9	52094145	Rawalpindi	NaN	3.0	4.0	0.0	1.0	0.0	1.35	For Sale	Adiala Road, Rawalpindi, Punjab,	Under Construction	1361.0	9919.18	Adiala Road	Punjab	Adiala Road	Houses

	Unnamed: 0	House Number	City	Parking Spaces	Bedrooms	Bathrooms	Servant Quarters	Kitchens	Store Rooms	price	Purpose	Location	Age Possession	area	price_per_sqft	colony	province	society	property Type
1509	1509	51461050	Karachi	NaN	0.0	0.0	0.0	0.0	0.0	6.10	For Sale	DHA Defence, Karachi, Sindh,	Undefined	1998.0	30530.53	Emaar Coral Towers	Sindh	DHA Defence	Flats
1510	1510	51525734	Karachi	1.0	3.0	3.0	1.0	1.0	2.0	2.29	For Sale	Gulistan	Relatively New	1701.0	13462.67	Kings Presidency	Sindh	Gulistan	Flats
1511	1511	48409814	Karachi	1.0	5.0	5.0	1.0	1.0	0.0	10.50	For Sale	Malir, Karachi, Sindh,	New Property	4500.0	23333.33	Falcon Complex New Malir	Sindh	Malir	Houses
1512	1512	49596308	Karachi	NaN	NaN	NaN	NaN	NaN	NaN	2.25	For Sale	Bin Qasim Town, Karachi, Sindh,	Relatively New	1197.0	18796.99	Model Colony	Sindh	Bin Qasim Town	Houses
1513	1513	52076865	Karachi	NaN	NaN	NaN	NaN	NaN	NaN	4.30	For Sale	Clifton, Karachi, Sindh,	Undefined	2502.0	17186.25	Clifton	Sindh	Clifton	Flats
1514	1514	51979270	Karachi	NaN	NaN	NaN	NaN	NaN	NaN	2.45	For Sale	Scheme 33, Karachi, Sindh,	Undefined	1080.0	22685.19	Sector 31	Sindh	Scheme 33	Houses
1515	1515	52011503	Karachi	NaN	NaN	NaN	NaN	NaN	NaN	20.00	For Sale	DHA Defence, Karachi, Sindh,	Undefined	6003.0	33316.67	Zamzama Commercial Area	Sindh	DHA Defence	Penthouse
1516	1516	51140390	Karachi	1.0	2.0	2.0	0.0	1.0	0.0	2.20	For Sale	Jamshed Town, Karachi, Sindh,	New Property	900.0	24444.44	PECHS Block 2	Sindh	Jamshed Town	Upper
1517	1517	50119841	Karachi	1.0	3.0	3.0	0.0	1.0	1.0	3.50	For Sale	Jamshed Town, Karachi, Sindh,	Relatively New	1800.0	19444.44	PECHS Block 2	Sindh	Jamshed Town	Lower
1518	1518	49977228	Karachi	1.0	4.0	4.0	1.0	1.0	1.0	4.25	For Sale	Jamshed Town, Karachi, Sindh,	New Property	2250.0	18888.89	PECHS Block 2	Sindh	Jamshed Town	Upper

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category